diff --git a/python/mxnet/numpy/multiarray.py b/python/mxnet/numpy/multiarray.py
index 4af51fc5bf3a..bc4b409d5be7 100644
--- a/python/mxnet/numpy/multiarray.py
+++ b/python/mxnet/numpy/multiarray.py
@@ -1996,13 +1996,16 @@ def array(object, dtype=None, ctx=None):
     if isinstance(object, (ndarray, _np.ndarray)):
         dtype = object.dtype if dtype is None else dtype
     elif isinstance(object, NDArray):
-        raise ValueError("")
+        raise ValueError("If you're trying to create a mxnet.numpy.ndarray "
+                         "from mx.nd.NDArray, please use the zero-copy as_np_ndarray function.")
     else:
         if dtype is None:
             dtype = object.dtype if hasattr(object, "dtype") else _np.float32
         try:
             object = _np.array(object, dtype=dtype)
         except Exception as e:
+            # printing out the error raised by official NumPy's array function
+            # for transparency on users' side
             raise TypeError('{}'.format(str(e)))
     ret = empty(object.shape, dtype=dtype, ctx=ctx)
     if len(object.shape) == 0:
diff --git a/tests/python/unittest/test_numpy_op.py b/tests/python/unittest/test_numpy_op.py
index 1a8ec9f60928..0b15c7ea0d2d 100644
--- a/tests/python/unittest/test_numpy_op.py
+++ b/tests/python/unittest/test_numpy_op.py
@@ -442,7 +442,7 @@ def is_int(dtype):
             for axis in ([i for i in range(in_data_dim)] + [(), None]):
                 for itype in ['float16', 'float32', 'float64', 'int8', 'int32', 'int64', 'bool']:
                     for dtype in ['float16', 'float32', 'float64', 'int8', 'int32', 'int64']:
-                        if (is_int(dtype) and not is_int(itype))\
+                        if (is_int(dtype) and not is_int(itype)) or (is_windows and is_int(itype))\
                                 or (itype == 'bool' and\
                                     (dtype not in ('float32', 'float64', 'int32', 'int64') or is_windows)):
                             continue